Analiza danych

Analiza danych jest ekscytującą dyscypliną, która umożliwia zrozumienie pewnych zjawisk, uzyskanie wglądu i wiedzy na podstawie surowych danych. Pojęcie to oznacza dokładnie przetwarzanie danych za pomocą technik matematycznych i statystycznych w celu uzyskania cennych wniosków, podjęcia ważnych decyzji i opracowania przydatnych produktów. Termin ten wywodzi się od angielskiego data science, często traktowanego jako synonim takich terminów, jak analityka biznesowa, badania operacyjne, business intelligence, wywiad konkurencyjny, analiza i modelowanie danych, a także pozyskiwanie wiedzy. Dzięki takim technologiom, jak języki Python czy R, platformy Hadoop i Spark masz szansę wyciągnąć maksimum wniosków, dostrzec szanse na rozwój swojej organizacji albo przewidzieć i zapobiec zagrożeniom.

siatka lista

Tableau Cookbook - Recipes for Data Visualization. Click here to enter text

Shweta Sankhe-Savale

Tableau Cookbook for Experienced Professionals. Over 60 advanced recipes for maximizing performance, interactivity, and platform potential

Pablo Sáenz de Tejada, Daria Kirilenko

Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations

Matt Floyd, Jen Stirrup, Ashley Ohmann, Ashutosh...

Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts

Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika...

Tech Trends of the 4th Industrial Revolution. Navigating the Future of Technology in Business

Mercury Learning and Information, D. Pyo, J....

TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python

Antonio Gulli, Amita Kapoor

TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0

Tony Holdroyd

TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning

Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey...

TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library

Nick McClure

Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions

Abhinav Khandelwal, Rajsekhar Bhamidipati

Text Analytics for Business Decisions. Mastering Techniques for Insightful Data Interpretation through a Case Study Approach

Mercury Learning and Information, Andres Fortino

The Absolute Guide to Dashboarding and Reporting with Power BI. Mastering Business Insights with Effective Dashboards and Reports

MrExcel's Holy Macro! Books, Kasper de Jonge

The AI Optimization Playbook. Drive business success with proven AI strategies, best practices, and responsible innovation

Dr. Chun Schiros, Supreet Kaur, Rajdeep Arora,...

The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition

Alex Galea

The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition

Matt Goldwasser, Upom Malik, Benjamin Johnston

The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker

Harveen Singh Chadha, Luis Capelo

The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning

Alan Bernardo Palacio

The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects

Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh

The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev

The Data Science Workshop. A New, Interactive Approach to Learning Data Science

Anthony So, Thomas V. Joseph, Robert Thas...

The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition

Anthony So, Thomas V. Joseph, Robert Thas...

The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

Mario Döbler, Tim Großmann

The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition

Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques

Ee Kin Chin